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Author, Editor(s)

Author(s):

Granados, Miguel
Kim, Kwang In
Tompkin, James
Theobalt, Christian

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BibTeX cite key*:

Granados2013

Title

Title*:

Automatic Noise Modeling for Ghost-free HDR Reconstruction


granados13_hdrdeghosting.pdf (55536.15 KB)

Journal

Journal Title*:

ACM Trans. Graph.

Journal's URL:

http://tog.acm.org/

Download URL
for the article:

http://gvv.mpi-inf.mpg.de/files/SIGGRAPH_ASIA_2013/granados13_hdrdeghosting.pdf

Language:

English

Publisher

Publisher's
Name:

ACM

Publisher's URL:

http://www.acm.org/

Publisher's
Address:

New York, NY, USA

ISSN:

0730-0301

Vol, No, pp, Date

Volume*:

32

Number:

6

Publishing Date:

November 2013

Pages*:

201:1-201:10

Number of
VG Pages:


Page Start:


Page End:


Sequence Number:

6

DOI:

10.1145/2508363.2508410

Note, Abstract, ©

Note:


(LaTeX) Abstract:

High dynamic range reconstruction of dynamic scenes requires careful handling of dynamic objects to prevent ghosting. However, in a recent review, Srikantha et al. [2012] conclude that "there is no single best method and the selection of an approach depends on the user's goal". We attempt to solve this problem with a novel approach that models the noise distribution of color values. We estimate the likelihood that a pair of colors in different images are observations of the same irradiance, and we use a Markov random field prior to reconstruct irradiance from pixels that are likely to correspond to the same static scene object. Dynamic content is handled by selecting a single low dynamic range source image and hand-held capture is supported through homography-based image alignment. Our noise-based reconstruction method achieves better ghost detection and removal than state-of-the-art methods for cluttered scenes with large object displacements. As such, our method is broadly applicable and helps move the field towards a single method for dynamic scene HDR reconstruction.

URL for the Abstract:

http://gvv.mpi-inf.mpg.de/projects/hdrdeghosting/index.html

Categories,
Keywords:

HDR deghosting, camera noise, motion detection

HyperLinks / References / URLs:

http://gvv.mpi-inf.mpg.de/projects/hdrdeghosting/index.html

Copyright Message:


Personal Comments:


Download
Access Level:

Public

Correlation

MPG Unit:

Max-Planck-Institut für Informatik



MPG Subunit:

Computer Graphics Group

MPG Subsubunit:

Graphics; Vision & Video

Appearance:

MPII WWW Server, MPII FTP Server, MPG publications list, university publications list, working group publication list, Fachbeirat, VG Wort


BibTeX Entry:

@ARTICLE{Granados2013,
AUTHOR = {Granados, Miguel and Kim, Kwang In and Tompkin, James and Theobalt, Christian},
TITLE = {Automatic Noise Modeling for Ghost-free HDR Reconstruction},
JOURNAL = {ACM Trans. Graph.},
PUBLISHER = {ACM},
YEAR = {2013},
NUMBER = {6},
VOLUME = {32},
PAGES = {201:1--201:10},
ADDRESS = {New York, NY, USA},
MONTH = {November},
ISBN = {0730-0301},
DOI = {10.1145/2508363.2508410},
}


Entry last modified by Anja Becker, 02/04/2014
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Editor(s)
[Library]
Created
01/23/2014 03:24:51 PM
Revisions
3.
2.
1.
0.
Editor(s)
Anja Becker
James Tompkin
James Tompkin
Miguel Andrés Granados Velásquez
Edit Dates
04.02.2014 14:47:43
01/28/2014 01:34:49 PM
01/28/2014 01:33:54 PM
01/23/2014 03:24:54 PM
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